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In order to reduce algorithm complexity, this section proposes a stepwise solution scheme based on the NOMA principle. We assume that the relay power can satisfy the minimum communication quality requirements of the remote users in the NOMA node. According to the principle of NOMA system power allocation assisted by the relay [16], the system can temporarily implement the power allocation coefficient of NOMA paired users to ensure the communication quality of NOMA receiving nodes with the transmitting power of the relay node being a constant. After the power allocation in the NOMA group is determined, the above optimization problem can be transformed into a power distribution problem between the relay node and transmitter. However, although NOMA paired users use non-orthogonal multiple access for superimposed transmission, NOMA groups still use OMA for transmission. Then we can use the particle swarm algorithm to solve this problem. Compared with the genetic algorithm, the particle swarm algorithm can memorize all the problem solutions, and only needs to update the search direction according to the internal speed. The algorithm is easier to implement and the convergence speed is faster. The pseudo code of the stepwise optimization algorithm designed in summary is shown in Algorithm 1. |
IEEE/ICACT20220386 Slide.11
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